Jev AI in Practice: Choice, Score, and Noul Explained
Learn how to turn a support ticket into typed decisions with Jev AI, choose the right primitive, and recognize where a generative LLM still fits.
EXPLORE TYPESAFE AI’S SYSTEM ONE MODEL
Try Jev AI for free.
Try Jev AI, TypeSafe AI’s System One model for structured decisions, in your browser. Explore Choice, Score, and Yes/No outputs. No signup or personal API key required.
✳ 100 free decisions every day
Built for the moments between thinking and doing.⌘ Playground v1.13
typesafe/jev-1.13↗
01 / INPUT
02 / OUTPUT
⑂
A little context.
A clear decision.
Give Jev a state and a question.
Your decision, probabilities, and insights
will appear right here.
START WITH AN EXAMPLE
FROM PLAYGROUND TO PRODUCTIONTake the pattern to
Take the pattern to
your next build.
Inspect the request shape.
Build with Jev through its official docs.
AIJEV PLAYGROUND REQUEST SHAPE.
{
"playground": "https://aijev.net",
"language": "JavaScript",
"request": {
"model": "typesafe/jev-1.13",
"state": "Customer says: \"I was charged twice for my subscription and need a refund.\"",
"questions": {
"decision": {
"type": "choice",
"instructions": "Which team should handle this request?",
"criteria": {
"Billing": "Billing",
"Technical Support": "Technical Support",
"Sales": "Sales",
"Other": "Other"
}
}
},
"provider": {
"allow_fallbacks": false
}
},
"note": "AIJev Playground request shape only. For application integration, visit https://docs.typesafe.ai."
} AIJev Playground only Not a public integration API
MEET YOUR DECISION LAYERWhat is Jev AI?
What is Jev AI?
A model that decides.
Some tasks don’t need a paragraph. They need a choice.
Jev turns your context into structured decisions your
software can actually use.
01 ⑂
Choose a direction.
Route a ticket. Pick a tool. Classify an intent.
One choice from the options you define.
Billing ✓SupportSales
CHOICE ↗
02 ▥
Find the degree.
Evaluate relevance, quality, or sentiment.
A nuanced score, grounded in your rubric.
1.8 / 2
SCORE ↗
03 ◐
Make the call.
Check a condition. Validate a response.
A yes or no, with the probability behind it.
✓ Yes× No
YES / NO ↗
Illustrative outputs. Real results depend on your input.
The right model for the right job.
Use Jev for focused decisions. Use an LLM for generation and reasoning.
A FEW THINGS TO KNOWJev AI Playground
Jev AI Playground
FAQ.
New to System One models?
You’re in the right place.
Is this really free?+
The playground provides up to 100 decisions per visitor each day, subject to shared capacity. The allowance resets at midnight UTC. No account or personal API key is needed.
What is Jev AI by TypeSafe?+
Jev AI is TypeSafe AI’s System One model for structured decisions. It evaluates text context and returns a Choice, a continuous Score, or a Noul probability rather than writing a response.
Are these real model results?+
Yes. Every successful run uses the real Jev model. If the service is not configured or is unavailable, we show an error instead of a simulated result.
Can I use this in my own app?+
The code panel shows the Playground request shape. For production integration, use the official Jev documentation. This playground is not a public API proxy.
Is Jev AI a chatbot or an LLM?+
Jev returns structured decisions rather than generated replies. Use it for routing, scoring, and focused checks. Use a generative LLM when you need text, code, or an explanation.
Is AIJev the official TypeSafe playground?+
No. AIJev is an independent playground and is not affiliated with TypeSafe AI. Our free allowance applies here; official API access and billing are managed separately by the provider.
Can I trust every decision?+
No model is always right. Calibrated probabilities describe behavior across predictions, not a guarantee for one answer. Use validation and human review for consequential actions.
Build with Jev AI
Find official access and request examples in our Jev API guide, or explore a practical workflow below.
Building a Jev AI Workflow with Confidence-Based Routing
Design a Jev and LLM cascade with measurable routing thresholds, explicit fallbacks, and a cost model you can test against your own workload.
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Independent by design. Powered by real models.
Built on TypeSafe Jev. Learn about AIJev ↗